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	<title>Comments on: Misleading Metrics</title>
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	<link>http://www.adamkwhite.com/2010/05/24/misleading-metrics/</link>
	<description>Leadership, Management and Software</description>
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		<title>By: Adam White &#187; Blog Archive &#187; InsideSpin &#8211; Contributor of the month</title>
		<link>http://www.adamkwhite.com/2010/05/24/misleading-metrics/comment-page-1/#comment-11834</link>
		<dc:creator>Adam White &#187; Blog Archive &#187; InsideSpin &#8211; Contributor of the month</dc:creator>
		<pubDate>Sun, 13 Jun 2010 22:58:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.adamkwhite.com/?p=58#comment-11834</guid>
		<description>[...] Strictly by the number of posts in the discussion forum. Maybe I should look at my own post about misleading metrics What is [...]</description>
		<content:encoded><![CDATA[<p>[...] Strictly by the number of posts in the discussion forum. Maybe I should look at my own post about misleading metrics What is [...]</p>
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		<title>By: John Allen</title>
		<link>http://www.adamkwhite.com/2010/05/24/misleading-metrics/comment-page-1/#comment-11799</link>
		<dc:creator>John Allen</dc:creator>
		<pubDate>Fri, 04 Jun 2010 14:41:13 +0000</pubDate>
		<guid isPermaLink="false">http://www.adamkwhite.com/?p=58#comment-11799</guid>
		<description>Who is Nick and what is his side?</description>
		<content:encoded><![CDATA[<p>Who is Nick and what is his side?</p>
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		<title>By: Glory Leung</title>
		<link>http://www.adamkwhite.com/2010/05/24/misleading-metrics/comment-page-1/#comment-11796</link>
		<dc:creator>Glory Leung</dc:creator>
		<pubDate>Wed, 02 Jun 2010 23:21:16 +0000</pubDate>
		<guid isPermaLink="false">http://www.adamkwhite.com/?p=58#comment-11796</guid>
		<description>Nick probably should have just told Jim that his metrics are wrong.  I wouldn&#039;t totally say it&#039;s Nick&#039;s fault, but he should take some blame in not convincing Jim enough to delay the release or push more bugs.

Nick should play all the cards to the Jim and say &quot;Here is the situation. blah blah blah&quot;.  Whether or not Jim takes it to heart is another question but at least Nick covered for the Test team.</description>
		<content:encoded><![CDATA[<p>Nick probably should have just told Jim that his metrics are wrong.  I wouldn&#8217;t totally say it&#8217;s Nick&#8217;s fault, but he should take some blame in not convincing Jim enough to delay the release or push more bugs.</p>
<p>Nick should play all the cards to the Jim and say &#8220;Here is the situation. blah blah blah&#8221;.  Whether or not Jim takes it to heart is another question but at least Nick covered for the Test team.</p>
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		<title>By: Glory Leung</title>
		<link>http://www.adamkwhite.com/2010/05/24/misleading-metrics/comment-page-1/#comment-11795</link>
		<dc:creator>Glory Leung</dc:creator>
		<pubDate>Wed, 02 Jun 2010 22:59:21 +0000</pubDate>
		<guid isPermaLink="false">http://www.adamkwhite.com/?p=58#comment-11795</guid>
		<description>Jim could have perhaps assigned Risk numbers to each P value.  Where P is the &quot;observed&quot; value of time it takes for development on average to fix that type of issue. (say.. in hours.. but you can use anything you want)

For Example, if it takes roughly 10 hours days to fix a P1.  Then assign a factor of 10.  If it takes roughly 7 hours to fix a P2, Then assign a factor of 7.  We&#039;ll use 5 for P3s and 3 for P4s.

Therefore we have 263 man hours divided by 6 hours a day divided by N number of Developers.  (In this case, if there is 1 developer, it will take 44 days!!)

By no means this is the real solution, but I think it can give you a more accurate account of the situation at hand.  There are too many external values to get an absolute estimate (people getting sick, delays, acts of god)

I&#039;ll get to Nick&#039;s side later.</description>
		<content:encoded><![CDATA[<p>Jim could have perhaps assigned Risk numbers to each P value.  Where P is the &#8220;observed&#8221; value of time it takes for development on average to fix that type of issue. (say.. in hours.. but you can use anything you want)</p>
<p>For Example, if it takes roughly 10 hours days to fix a P1.  Then assign a factor of 10.  If it takes roughly 7 hours to fix a P2, Then assign a factor of 7.  We&#8217;ll use 5 for P3s and 3 for P4s.</p>
<p>Therefore we have 263 man hours divided by 6 hours a day divided by N number of Developers.  (In this case, if there is 1 developer, it will take 44 days!!)</p>
<p>By no means this is the real solution, but I think it can give you a more accurate account of the situation at hand.  There are too many external values to get an absolute estimate (people getting sick, delays, acts of god)</p>
<p>I&#8217;ll get to Nick&#8217;s side later.</p>
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		<title>By: Joseph Kubik</title>
		<link>http://www.adamkwhite.com/2010/05/24/misleading-metrics/comment-page-1/#comment-11793</link>
		<dc:creator>Joseph Kubik</dc:creator>
		<pubDate>Tue, 01 Jun 2010 18:37:22 +0000</pubDate>
		<guid isPermaLink="false">http://www.adamkwhite.com/?p=58#comment-11793</guid>
		<description>Is the problem with a linear trend line (or any type of trend line) that we fail to use statistics like statisticians do?
For other math / stats we would use a trend line and a P value (mathematically, how consistent is our rate, or is the trend an average of very random data) and then say +/- N units. We would use the P value to decide how accurate our trend is.
 
example:
We have fixed an average of 5 bugs per day over 10 weeks with a 95th percentile of 0 and 25 leaving us a P value that means a very bad match. so we will ship on March 15th, +/- a LARGE variance.
OR,
We have fixed an average of 5 bugs per day over 10 weeks with a 95th percentile of 4 and 6 leaving us a P value that means a very good match. so we will ship on March 15th, +/- a very small variance.

-Joseph-</description>
		<content:encoded><![CDATA[<p>Is the problem with a linear trend line (or any type of trend line) that we fail to use statistics like statisticians do?<br />
For other math / stats we would use a trend line and a P value (mathematically, how consistent is our rate, or is the trend an average of very random data) and then say +/- N units. We would use the P value to decide how accurate our trend is.</p>
<p>example:<br />
We have fixed an average of 5 bugs per day over 10 weeks with a 95th percentile of 0 and 25 leaving us a P value that means a very bad match. so we will ship on March 15th, +/- a LARGE variance.<br />
OR,<br />
We have fixed an average of 5 bugs per day over 10 weeks with a 95th percentile of 4 and 6 leaving us a P value that means a very good match. so we will ship on March 15th, +/- a very small variance.</p>
<p>-Joseph-</p>
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		<title>By: Tweets that mention Adam White » Blog Archive » Misleading Metrics -- Topsy.com</title>
		<link>http://www.adamkwhite.com/2010/05/24/misleading-metrics/comment-page-1/#comment-11773</link>
		<dc:creator>Tweets that mention Adam White » Blog Archive » Misleading Metrics -- Topsy.com</dc:creator>
		<pubDate>Tue, 25 May 2010 10:11:31 +0000</pubDate>
		<guid isPermaLink="false">http://www.adamkwhite.com/?p=58#comment-11773</guid>
		<description>[...] This post was mentioned on Twitter by Bob Marshall, Rob Lambert. Rob Lambert said: Nice post by Adam White on the dangers of metrics. http://bit.ly/9jX2pP [...]</description>
		<content:encoded><![CDATA[<p>[...] This post was mentioned on Twitter by Bob Marshall, Rob Lambert. Rob Lambert said: Nice post by Adam White on the dangers of metrics. <a href="http://bit.ly/9jX2pP" rel="nofollow">http://bit.ly/9jX2pP</a> [...]</p>
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